Teams flying sooner
Programs in our private beta and early-access cohort.
Early-access program results
Integration test prep fell for a 3-subsystem ICD set. Generated stubs removed the manual field-by-field translation that had dominated the schedule.
Reported by early-access programPer mission, hand-written flight boilerplate was replaced across 12 ICDs in the private beta benchmark. The ICD source now generates each line instead of requiring manual maintenance.
Private beta benchmark across 12 ICDsA requirements traceability matrix was produced for one mission ICD. Manual effort was estimated at approximately 3 weeks, versus Spacebackend's output in an under half-day review cycle.
Pilot using a single mission ICDEarly-access team feedback
"We had three subsystem ICDs and three engineers, with no time to write the same packet encoder three more times. After uploading the documents, Spacebackend generated the encoders and test stubs that afternoon. The code needed review and changes, but it was a real starting point, not an empty file."
"Our CubeSat team works around student schedules. Before integration week, a usable test harness meant someone working late for two weeks. We uploaded our payload ICD and received a readable, extensible test suite draft with field boundary assertions. It was not finished, but it brought the entire cycle forward."
Where it fits
Nanosatellite startups
A 2-3 engineer team creating attitude control and communications subsystems from scratch can lose a disproportionate share of its schedule to ICD translation that adds no mission-specific value. Spacebackend generates packet builders and encoders, leaving more time for flight logic and integration testing.
University CubeSat teams
Student payloads often enter integration week without a working test harness because nobody had time to create one. Generated test stubs provide a starting point with field-level assertions linked directly to the ICD, structuring integration even as the team changes each semester.
Commercial LEO operators
Platform refreshes across generations change ICDs, while flight code must remain synchronized. Regenerating modules from an updated ICD is faster and more dependable than comparing two hand-maintained encoder versions. Teams managing changing ICDs across subsystems gain a reproducible CI generation step.